Health Information Science and Systems

Papers
(The median citation count of Health Information Science and Systems is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Classification of COVID-19 chest X-rays with deep learning: new models or fine tuning?115
Automated detection of mild and multi-class diabetic eye diseases using deep learning83
Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies71
Automated epilepsy detection techniques from electroencephalogram signals: a review study64
PDCOVIDNet: a parallel-dilated convolutional neural network architecture for detecting COVID-19 from chest X-ray images56
COVID-19 infection map generation and detection from chest X-ray images52
Classification of normal and depressed EEG signals based on centered correntropy of rhythms in empirical wavelet transform domain52
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network52
A hybrid AI approach for supporting clinical diagnosis of attention deficit hyperactivity disorder (ADHD) in adults40
Detecting autism spectrum disorder using machine learning techniques40
How can social media analytics assist authorities in pandemic-related policy decisions? Insights from Australian states and territories39
Improving accessibility of the Australian My Health Records while preserving privacy and security of the system34
The investigation of multiresolution approaches for chest X-ray image based COVID-19 detection33
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network32
An algorithm for Parkinson’s disease speech classification based on isolated words analysis25
Machine learning models for classification and identification of significant attributes to detect type 2 diabetes25
Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning23
New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis23
Automatic breast lesion segmentation in phase preserved DCE-MRIs22
MDU-Net: multi-scale densely connected U-Net for biomedical image segmentation21
A stacked LSTM for atrial fibrillation prediction based on multivariate ECGs21
COVID-19 diagnosis from chest x-rays: developing a simple, fast, and accurate neural network19
Fusion of whole and part features for the classification of histopathological image of breast tissue18
RSMOTE: improving classification performance over imbalanced medical datasets17
External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count17
BTC-fCNN: Fast Convolution Neural Network for Multi-class Brain Tumor Classification16
Computer-aided diagnosis of hepatocellular carcinoma fusing imaging and structured health data16
Features extraction using encoded local binary pattern for detection and grading diabetic retinopathy15
Improving convolutional neural networks performance for image classification using test time augmentation: a case study using MURA dataset14
Hand tremor detection in videos with cluttered background using neural network based approaches14
MHA: a multimodal hierarchical attention model for depression detection in social media13
Optical coherence tomography image based eye disease detection using deep convolutional neural network13
The correlation of everyday cognition test scores and the progression of Alzheimer’s disease: a data analytics study13
Analysis of the global situation of COVID-19 research based on bibliometrics13
A heterogeneous multi-modal medical data fusion framework supporting hybrid data exploration12
Mixed pyramid attention network for nuclear cataract classification based on anterior segment OCT images12
A deep reinforcement learning-based wireless body area network offloading optimization strategy for healthcare services12
Local feature descriptors based ECG beat classification12
Studying human-AI collaboration protocols: the case of the Kasparov’s law in radiological double reading12
A method of VR-EEG scene cognitive rehabilitation training11
SpecMEn-DL: spectral mask enhancement with deep learning models to predict COVID-19 from lung ultrasound videos11
MCA-UNet: multi-scale cross co-attentional U-Net for automatic medical image segmentation11
Predicting the relationships between gut microbiota and mental disorders with knowledge graphs10
GLIMPSE: a glioblastoma prognostication model using ensemble learning—a surveillance, epidemiology, and end results study10
Predicting special care during the COVID-19 pandemic: a machine learning approach10
MFDNN: multi-channel feature deep neural network algorithm to identify COVID19 chest X-ray images10
Holistic multi-class classification & grading of diabetic foot ulcerations from plantar thermal images using deep learning10
Automated robust human emotion classification system using hybrid EEG features with ICBrainDB dataset9
Epidemiological investigation of a COVID-19 family cluster outbreak transmitted by a 3-month-old infant9
A decision support system for mammography reports interpretation9
Knowledge Graphs of Kawasaki Disease9
Keyword extraction and structuralization of medical reports8
Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals8
Physicians’ and pharmacists’ use of My Health Record in the emergency department: results from a mixed-methods study7
Detection and explanation of anomalies in healthcare data7
Embedding-based link predictions to explore latent comorbidity of chronic diseases7
A semantic trajectory data warehouse for improving nursing productivity7
Identification of normal and depression EEG signals in variational mode decomposition domain7
Meta-path guided graph attention network for explainable herb recommendation6
A framework for in-vivo human brain tumor detection using image augmentation and hybrid features6
Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm6
Microstate feature fusion for distinguishing AD from MCI6
Classifying sepsis from photoplethysmography5
Development and validation of predictive model based on deep learning method for classification of dyslipidemia in Chinese medicine5
A two-stage segmentation of sublingual veins based on compact fully convolutional networks for Traditional Chinese Medicine images5
The development of a machine learning algorithm to identify occupational injuries in agriculture using pre-hospital care reports5
Variability analysis of epileptic EEG using the maximal overlap discrete wavelet transform4
Autism screening: an unsupervised machine learning approach4
Quantitative EEG in sports: performance level estimation of professional female soccer players4
Color-invariant skin lesion semantic segmentation based on modified U-Net deep convolutional neural network4
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review4
Impact of COVID-19 prevalence and mode of transmission on mortality cases over WHO regions4
Exploring relationship between emotion and probiotics with knowledge graphs4
STSNet: a novel spatio-temporal-spectral network for subject-independent EEG-based emotion recognition4
Towards data-driven tele-medicine intelligence: community-based mental healthcare paradigm shift for smart aging amid COVID-19 pandemic4
PS-VTS: particle swarm with visit table strategy for automated emotion recognition with EEG signals4
Automatic breast tissue segmentation in MRIs with morphology snake and deep denoiser training via extended Stein’s unbiased risk estimator4
Synthesis of fracture radiographs with deep neural networks3
Autonomous detection of myocarditis based on the fusion of improved quantum genetic algorithm and adaptive differential evolution optimization back propagation neural network3
Analysis of sentiment changes in online messages of depression patients before and during the COVID-19 epidemic based on BERT+BiLSTM3
S-LSTM-ATT: a hybrid deep learning approach with optimized features for emotion recognition in electroencephalogram3
A multi-label classification system for anomaly classification in electrocardiogram3
A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project3
Nationwide hospital admission data statistics and disease-specific 30-day readmission prediction3
Estimation of infection density and epidemic size of COVID-19 using the back-calculation algorithm3
LDS-CNN: a deep learning framework for drug-target interactions prediction based on large-scale drug screening3
A new mixed reality tool for training in minimally invasive robotic-assisted surgery3
A novel empirical wavelet SODP and spectral entropy based index for assessing the depth of anaesthesia3
Efficient novel network and index for alcoholism detection from EEGs3
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